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APBC
2004
107views Bioinformatics» more  APBC 2004»
15 years 8 months ago
An Empirical Bayes Adjustment to Multiple p-values for the Detection of Differentially Expressed Genes in Microarray Experiments
In recent microarray experiments thousands of gene expressions are simultaneously tested in comparing samples (e.g., tissue types or experimental conditions). Application of a sta...
Somnath Datta, Susmita Datta
SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
15 years 8 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
GRAPHICSINTERFACE
2000
15 years 8 months ago
Are We All In the Same "Bloat"?
"Bloat", a term that has existed in the technical community for many years, has recently received attention in the popular press. The term has a negative connotation imp...
Joanna McGrenere, Gale Moore
ISMB
2000
15 years 8 months ago
Genes, Themes, and Microarrays: Using Information Retrieval for Large-Scale Gene Analysis
The immensevolumeof data resulting from DNAmicroarray experiments, accompaniedby an increase in the numberof publications discussing gene-related discoveries, presents a majordata...
Hagit Shatkay, Stephen Edwards, W. John Wilbur, Ma...
WOB
2007
15 years 8 months ago
Gene Set Enrichment Analysis Using Non-parametric Scores
Abstract. Gene Set Enrichment Analysis (GSEA) is a well-known technique used for studying groups of functionally related genes and their correlation with phenotype. This method cre...
Ariel E. Bayá, Mónica G. Larese, Pab...